Artificial Intelligence based Human Attention Detection through Brain Computer Interface for Health Care Monitoring
R Sravanth Kumar, Kandala Kalyana Srinivas, Anudeep Peddi, P A Harsha Vardhini
Abstract
Attention as a key aspect of brain activity is one of the most usable area of brain study. It has a significant impact on the brain activities such as learning process and critical activities like driving vehicles. As real-time bidirectional linkages between living brains and actuators, brain-computer interfaces (BCIs) have showed considerable promise. The area of BCIs has been accelerated by artificial intelligence (AI), which can improve the analysis and decoding of brain activity. This paper deals with how attention of a person is detected using Electroencephalogram (EEG) and Brain Computer Interface (BCI).
Topics & Concepts
Brain–computer interfaceComputer scienceUSableElectroencephalographyInterface (matter)Brain activity and meditationProcess (computing)Decoding methodsHuman–computer interactionArtificial intelligencePsychologyNeuroscienceMultimediaBubbleParallel computingTelecommunicationsMaximum bubble pressure methodOperating systemEEG and Brain-Computer InterfacesFunctional Brain Connectivity StudiesEmotion and Mood Recognition